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SM Zamshed Farhan
BRAC University, Dhaka, Bangladesh
Computer Science & IT Electrical & Electronics Engineering

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A Novel 2D Feature Extraction Method for Fingerprints Using Minutiae Points and Their Intersections Nibras Ar Rakib; SM Zamshed Farhan; Md Mashrur Bari Sobhan; Jia Uddin; Arafat Habib
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 5: October 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (372.224 KB) | DOI: 10.11591/ijece.v7i5.pp2547-2554

Abstract

The field of biometrics has evolved tremendously for over the last century. Yet scientists are still continuing to come up with precise and efficient algorithms to facilitate automatic fingerprint recognition systems. Like other applications, an efficient feature extraction method plays an important role in fingerprint based recognition systems. This paper proposes a novel feature extraction method using minutiae points of a fingerprint image and their intersections. In this method, initially, it calculates the ridge ends and ridge bifurcations of each fingerprint image. And then, it estimates the minutiae points for the intersection of each ridge end and ridge bifurcation. In the experimental evaluation, we tested the extracted features of our proposed model using a support vector machine (SVM) classifier and experimental results show that the proposed method can accurately classify different fingerprint images.
Co-Authors Arafat Habib Jia Uddin Md Mashrur Bari Sobhan Nibras Ar Rakib